An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

11 April 2024

Mengdi Wang

Papers citing "An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization"

32 / 32 papers shown

Title
Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients Stefano Bruno Sotirios Sabanis DiffM 31 0 0 06 May 2025
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 50 3 0 03 Sep 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 27 21 0 05 Aug 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 29 11 0 29 Apr 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably Gen Li Yu Huang Timofey Efimov Yuting Wei Yuejie Chi Yuxin Chen DiffM 51 29 0 06 Mar 2024
Optimal score estimation via empirical Bayes smoothing Andre Wibisono Yihong Wu Kaylee Yingxi Yang 46 20 0 12 Feb 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization Yinbin Han Meisam Razaviyayn Renyuan Xu DiffM 30 12 0 28 Jan 2024
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module Simian Luo Yiqin Tan Suraj Patil Daniel Gu Patrick von Platen Apolinário Passos Longbo Huang Jian Li Hang Zhao MoMe 108 139 0 09 Nov 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance Bram Wallace Akash Gokul Stefano Ermon Nikhil Naik 110 53 0 23 Mar 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 244 260 0 15 Mar 2023
Diffusion Models are Minimax Optimal Distribution Estimators Kazusato Oko Shunta Akiyama Taiji Suzuki DiffM 61 84 0 03 Mar 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action Zhiye Guo Jian Liu Yanli Wang Mengrui Chen Duolin Wang Dong Xu Jianlin Cheng MedIm AI4CE DiffM 43 22 0 13 Feb 2023
From Denoising Diffusions to Denoising Markov Models Joe Benton Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 66 25 0 07 Nov 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 184 53 0 02 Nov 2022
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 177 713 0 29 Sep 2022
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 177 128 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 123 245 0 22 Sep 2022
Metal Inpainting in CBCT Projections Using Score-based Generative Model Siyuan Mei F. Fan Andreas K. Maier DiffM MedIm 185 7 0 20 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 186 1,098 0 10 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 213 1,277 0 02 Sep 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 172 132 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 163 768 0 27 May 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 175 170 0 26 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 196 622 0 20 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 184 410 0 16 May 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 770 0 27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 200 1,330 0 24 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 322 1,570 0 10 Nov 2021
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 166 90 0 31 Aug 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 56 46 0 16 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 199 392 0 10 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015